Optimal Demand Response Scheduling Based on Retailer Profit Maximization Using Exchange Market Algorithm

Due to a high share of household energy consumption of total energy consumption of network, implementation of demand response programs (DRP) can have a considerable role in balancing energy production and consumption in the network. In this paper proposes a demand response (DR) program can have a considerable role on balancing energy by a smart grid retailer. This paper proposed the importance of demand response based on retailer profit maximization considering the Consumer consumption by the Real-Time-Price (RTP) program. In the proposed model the utility of the consumer is calculated with respect of the electricity price and consumer behavior against variation of incentive. The Exchange Market Algorithm (EMA) is utilized to achieve application performance to increase the customer s benefits by considering the consumer utility. Numerical results indicate the effectiveness of the proposed model and their benefits for retailer. The proposed algorithm works to household loads management based on consumers’ define comfort level and preserves consumption load at a certain level. The results show the effectiveness of the DRP in maximizing the household s daily customer’s benefits while preserving comfort level. Also, results are expected to increase retailer profit and decrease electricity bill to customers, which is desirable for both retailer and customers.

کلیدواژه ها:

Retailer ، Demand Response ، Demand-Price Elasticity ، Customer Profit ، Exchange Market Algorithm (EMA).